Mr. Ardan Zhanegizov | Biomedicine | Research Excellence Award

Satbayev University | Kazakhstan

Mr. Ardan Zhanegizov is an emerging researcher in Machine Learning and Computer Vision specialist based in Almaty, Qazaqstan, with strong academic and practical experience in AI-driven data analysis and software engineering. He holds a Master’s degree in Computer Science from the University of Wollongong, Australia, supported by the Bolashak Scholarship, and a Bachelor’s degree in Computer Science from Nazarbayev University. His expertise spans machine learning, computer vision, data mining, Biomedicine and deep learning, with hands-on experience using PyTorch, TensorFlow, Keras, and OpenCV. His capstone project focused on Sign Language Recognition, achieving high accuracy on ASL and Auslan datasets, alongside research in Human Action Recognition and sentiment analysis. Currently working as a Machine Learning Engineer at the Institute of Information and Computational Technologies, he contributes to AI models for medical image analysis and signal processing. His background also includes cloud deployment, DevOps practices, and prior roles in software quality assurance and research assistance, with a published article on facial expression recognition using edge computing.

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Featured Publications

Efficient facial expression recognition framework based on edge computing

– Journal of Supercomputing, 80(2), 2024

Effective clustering with K-means or efficient cropping with YOLO as a preprocessing step for automated fundus image standardization

– Sixth International Conference on Computer Vision and Information Technology, 2025

Automation of Preprocessing and Annotation of Fundus Images Using CLAHE and YOLO for Optical Disc Detection

– 6th International Conference on Problems of Cybernetics and Informatics, 2025

Hybrid neural architectures combining convolutional and recurrent networks for the early detection of retinal pathologies

– Engineering, Technology & Applied Science Research, 2025

Mr. Awodabon Fomukong Hanneda | Single-cell Biology | Best Researcher Award

Ahmadu Bello University | Nigeria

Mr. Awodabon Fomukong Hanneda is a dedicated researcher and academic in the field of biotechnology, currently serving as a phd research fellow at the African Centre of excellence for neglected tropical diseases and forensic biotechnology, Ahmadu bello university, Zaria, Kaduna state, Nigeria. He holds a B.Sc. in biochemistry and an M.Sc. in biotechnology, and is presently pursuing his phd in biotechnology with a research focus on the heterogeneity of stress erythroid progenitor cells using single-cell rna sequencing. His ongoing doctoral work explores the developmental pathways and molecular mechanisms governing seps differentiation during stress erythropoiesis in sickle cell patients. Hanneda’s completed projects include studies on single-cell rna sequencing of erythroid cells, Single-cell Biology optimized enrichment of cd71+ reticulocytes, and analyses of reticulocyte maturation. Beyond research, he has contributed to academia through four years of teaching a-level biology and currently lectures in the department of biochemistry at capital city university kano, nigeria. He is also an apti fellow under the supervision of dr. i. a. aimola. with 2 citations, 2 published documents, and an h-index of 1, Hanneda continues to build a promising research portfolio that advances understanding in molecular hematology, single-cell genomics, and biotechnological applications in health sciences.

Profile: Scopus